Jelušić, Petar Branislav (2016) Izrada automatiziranog sustava kalkulacija korištenjem neuronskih mreža. Master's thesis - Graduate Programme. Grafički fakultet. [Mentor: Poljičak, Ante].
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Abstract
Umjetne neuronske mreže su računalni modeli zasnovani na modelu bioloških neuronskih mreža. Imitacijom tokova informacija i signalnih puteva u ljudskom mozgu, umjetne neuronske mreže pokušavaju izračunati i predvidjeti razne matematičke probleme i funkcije. Posljednjih nekoliko desetljeća u konstantom su razvoju, a njihova primjena sve je šira. U teoretskom dijelu rada objasnit će se princip funkcioniranja umjetnih neuronskih mreža. Nakon toga, u eksperimentalnom dijelu kronološki će se objasniti proces izrade automatiziranog sustava tiskarskih kalkulacija – od prikupljanja podataka iz radnih naloga, do implementacije tih podataka u računalni program MATLAB. Upravo će se u MATLAB-u koristiti neuronske mreže. Krajnji cilj izrade automatiziranog sustava kalkulacija jest preciznije izračunavanje potrebne količine materijala pri svakom tiskarskom procesu, kako bi se izbjegli problemi (višak proizvoda zauzima mjesto u skladištu tiskare) i troškovi (manjak proizvoda stvara dodatni trošak, budući da se proces tiska mora započeti još jednom) u tiskarskoj proizvodnji. Navedeni proces izrade kalkulacija bit će potkrijepljen pripadajućim fotografijama i prikazima zaslona.
| Item Type: | Master's thesis - Graduate Programme |
|---|---|
| Mentor name: | Poljičak, Ante |
| Thesis Committee: | Mandić, Lidija and Poljičak, Ante and Strgar Kurečić, Maja |
| Defence date: | 5 July 2016 |
| Abstract in english: | Artificial neural networks are computational models based on biological neural networks. Using neural networks' structure and functions, artificial neural networks can compute and predict various mathematical tasks. In the past decades, artificial neural networks are improving constatntly, and their application is growing rapidly. At the beginning of the research, the general functions and applications of artificial neural networks will be explained briefly. In the experimental part, making of an automated printing calculation will be chronologically demonstrated – from gathering the information, to importing the data into MATLAB software. MATLAB will be used to work with neural networks. The goal of having an automated printing calculation is predicting the exact amount of paper material needed for every printing process. That way, it's possible to avoid various problems (excess of material takes up precious storage space) and expenses (insufficient amounts of material creates more expenses, as the printing process has to start over for the second time). Each process within the research will be explained with appropriate photos and screenshots. |
| Uncontrolled Keywords: | biološke neuronske mreže; umjetne neuronske mreže; perceptron; MATLAB; Neural Network Toolbox; tiskarske kalkulacije |
| Keywords in english: | biological neural networks; artificial neural networks; perceptron; MATLAB; Neural Network Toolbox; printing calculations |
| Subjects: | TECHNICAL SCIENCES > Graphic Technology |
| Institution: | Grafički fakultet |
| City: | Zagreb |
| Number of Pages: | 43 |
| Callnumber: | POLJ 2016 JEL |
| Inventory number: | DB532 |
| Depositing User: | Nina Jelača |
| Status: | Unpublished |
| Date Deposited: | 11 Jul 2016 08:15 |
| Last Modified: | 11 Jul 2016 08:15 |
| URI: | http://eprints.grf.unizg.hr/id/eprint/2500 |
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